Stone decision engine accurately predicts stone removal and treatment complications for shock wave lithotripsy and laser ureterorenoscopy patients.

Kidney stones form when mineral salts crystallize in the urinary tract. While most stones exit the body in the urine stream, some can block the ureteropelvic junction or ureters, leading to severe lower back pain, blood in the urine, vomiting, and painful urination. Imaging technologies, such as X-rays or ureterorenoscopy (URS), are typically used to detect kidney stones. Subsequently, these stones are fragmented into smaller pieces using shock wave lithotripsy (SWL) or laser URS. Both treatments yield subtly different patient outcomes. To predict successful stone removal and complication outcomes, Artificial Neural Network models were trained on 15,126 SWL and 2,116 URS patient records. These records include patient metrics like Body Mass Index and age, as well as treatment outcomes obtained using various medical instruments and healthcare professionals. Due to the low number of outcome failures in the data (e.g., treatment complications), Nearest Neighbor and Synthetic Minority Oversampling Technique (SMOTE) models were implemented to improve prediction accuracies. To reduce noise in the predictions, ensemble modeling was employed. The average prediction accuracies based on Confusion Matrices for SWL stone removal and treatment complications were 84.8% and 95.0%, respectively, while those for URS were 89.0% and 92.2%, respectively. The average prediction accuracies for SWL based on Area-Under-the-Curve were 74.7% and 62.9%, respectively, while those for URS were 77.2% and 78.9%, respectively. Taken together, the approach yielded moderate to high accurate predictions, regardless of treatment or outcome. These models were incorporated into a Stone Decision Engine web application (http://peteranoble.com/webapps.html) that suggests the best interventions to healthcare providers based on individual patient metrics.

EMPOWERED trial: protocol for a randomised control trial of digitally supported, highly personalised and measurement-based care to improve functional outcomes in young people with mood disorders.

OBJECTIVES: Many adolescents and young adults with emerging mood disorders do not achieve substantial improvements in education, employment, or social function after receiving standard youth mental health care. We have developed a new model of care referred to as 'highly personalised and measurement-based care' (HP&MBC). HP&MBC involves repeated assessment of multidimensional domains of morbidity to enable continuous and personalised clinical decision-making. Although measurement-based care is common in medical disease management, it is not a standard practice in mental health. This clinical effectiveness trial tests whether HP&MBC, supported by continuous digital feedback, delivers better functional improvements than standard care and digital support. METHOD AND ANALYSIS: This controlled implementation trial is a PROBE study (Prospective, Randomised, Open, Blinded End-point) that comprises a multisite 24-month, assessor-blinded, follow-up study of 1500 individuals aged 15-25 years who present for mental health treatment. Eligible participants will be individually randomised (1:1) to 12 months of HP&MBC or standardised clinical care. The primary outcome measure is social and occupational functioning 12 months after trial entry, assessed by the Social and Occupational Functioning Assessment Scale. Clinical and social outcomes for all participants will be monitored for a further 12 months after cessation of active care. ETHICS AND DISSEMINATION: This clinical trial has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (HREC Approval Number: X22-0042 & 2022/ETH00725, Protocol ID: BMC-YMH-003-2018, protocol version: V.3, 03/08/2022). Research findings will be disseminated through peer-reviewed journals, presentations at scientific conferences, and to user and advocacy groups. Participant data will be deidentified. TRIAL REGISTRATION NUMBER: ACTRN12622000882729.

Measuring provider well-being: initial validation of a brief engagement survey.

BACKGROUND: Measurement is one of the critical ingredients to addressing the well-being of health care professionals. However, administering an organization-wide well-being survey can be challenging due to constraints like survey fatigue, financial limitations, and other system priorities. One way to address these issues is to embed well-being items into already existing assessment tools that are administered on a regular basis, such as an employee engagement survey. The objective of this study was to assess the utility of a brief engagement survey, that included a small subset of well-being items, among health care providers working in an academic medical center. METHODS: In this cross-sectional study, health care providers, including physicians and advanced clinical practitioners, employed at an academic medical center completed a brief, digital engagement survey consisting of 11 quantitative items and 1 qualitative item administered by Dialogue™. The emphasis of this study was on the quantitative responses. Item responses were compared by sex and degree, domains were identified via exploratory factor analysis (EFA), and internal consistency of item responses was assessed via McDonald's omega. Sample burnout was compared against national burnout. RESULTS: Of the 791 respondents, 158 (20.0%) were Advanced Practice Clinicians (APCs), and 633 (80.0%) were Medical Doctors (MDs). The engagement survey, with 11 items, had a high internal consistency with an omega ranging from 0.80-0.93 and was shown, via EFA, to have three domains including communication, well-being, and engagement. Significant differences for some of the 11 items, by sex and degree, in the odds of their agreement responses were found. In this study, 31.5% reported experiencing burnout, which was significantly lower than the national average of 38.2%. CONCLUSION: Our findings indicate initial reliability, validity, and utility of a brief, digital engagement survey among health care professionals. This may be particularly useful for medical groups or health care organizations who are unable to administer their own discrete well-being survey to employees.

Double-blind, randomised placebo-controlled clinical trial of metformin as an adjunct to a sleep-wake, activity and metabolically focused behavioural intervention to improve cardiometabolic outcomes and mood symptoms in youth with major mood syndromes: study protocol.

INTRODUCTION: Metformin is a medication likely to improve measures of cardiometabolic disturbance in young people with mental illness. Evidence also suggests metformin may improve depressive symptoms. This 52-week double-blind randomised control trial (RCT) aims to investigate the efficacy of metformin pharmacotherapy as an adjunct to a healthy lifestyle behavioural intervention in improving cardiometabolic outcomes, and depressive, anxiety and psychotic symptoms in youth with clinically diagnosed major mood syndromes. METHODS AND ANALYSIS: At least 266 young people aged 16-25 presenting for mental healthcare for major mood syndromes who are also at risk for poor cardiometabolic outcomes will be invited to participate in this study. All participants will engage in a 12-week sleep-wake, activity and metabolically focused behavioural intervention programme. As an adjunctive intervention, participants will receive either metformin (500-1000 mg) or placebo pharmacotherapy for 52 weeks.Participants will undergo a series of assessments including: (1) self-report and clinician-administered assessments; (2) blood tests; (3) anthropometric assessments (height, weight, waist circumference and blood pressure); and (4) actigraphy. Univariate and multivariate tests (generalised mixed-effects models) will be used to examine changes in primary and secondary outcomes (and associations with predetermined predictor variables). ETHICS AND DISSEMINATION: This study has been approved by the Sydney Local Health District Research Ethics and Governance Office (X22-0017). The results of this double-blind RCT will be disseminated into the scientific and broader community through peer-reviewed journals, conference presentations, social media and university websites. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ANZCTR) Number: ACTRN12619001559101p, 12 November 2019.

Examining the prevalence of disordered eating in a cohort of young Australians presenting for mental health care at a headspace centre: results from a cross-sectional clinical survey study.

OBJECTIVES: The aim of this study was to determine the prevalence of disordered eating in young people attending a headspace centre, an enhanced primary care centre providing early intervention services for mental health disorders for young people aged 12-25 years, in metropolitan Sydney. DESIGN: Cross-sectional assessment of disordered eating symptoms and behaviours. SETTING: An enhanced primary care youth mental health service in inner urban Sydney, Australia. PARTICIPANTS: A sequential cohort of 530 young people aged 14-26 years presenting to headspace Camperdown for support with mental health concerns. OUTCOME MEASURES: Participants completed a series of questionnaires online which included items assessing the presence of eating disorder symptoms and behaviours. RESULTS: Over one-third of young people aged 14-26 years presenting to headspace Camperdown in a 22-month period reported symptoms of disordered eating. Of these, 32% endorsed overeating behaviours, 25% endorsed dietary restriction and 8% reported purging behaviours. In total, 44% reported engaging in one of more of these behaviours on a regular basis. Almost half reported experiencing significant shape and weight concerns. Eating disorder behaviours were particularly prevalent among female and gender-diverse participants (48% of females and 46% of gender-diverse participants compared with 35% of males) and overall scores across all of the eating disorder and body image items assessed were significantly higher for female participants compared with males. CONCLUSIONS: Disordered eating behaviours and symptoms are common among those presenting to youth mental health primary care services. Proactive screening for these behaviours presents opportunities for early detection and specific interventions. TRIAL REGISTRATION NUMBER: ACTRN12618001676202; Results.

Nocardia beijingensis Isolated From an Adrenal Abscess in a Diabetic Host.

We describe the case of a 57-year-old man with poorly controlled type 2 diabetes mellitus who presented with 30 days of left-sided abdominal pain. He was found to have a left adrenal abscess and underwent adrenalectomy. Intraoperative cultures grew Nocardia beijingensis, which is an uncommonly identified Nocardia species rarely affecting immunocompetent patients. We review the published literature on cases of N beijingensis among immunocompetent patients. This is the first report summarizing the diagnosis and management of N beijingensis isolated from an adrenal abscess.

Bridging the gap: A new integrated early intervention service for young people with complex mental health issues.

AIM: Two integrated headspace Early Intervention Teams (hEITs) were established in 2017 to bridge gaps between headspace, the national primary care youth mental health programme in Australia, and the state funded secondary and tertiary mental health services. This study aims to describe functioning and outcomes of patients referred to hEIT over a 6-month period. METHODS: A retrospective file audit was conducted for all patients accepted into the service over a 6-month period in 2018. Measures of distress, functioning and client satisfaction were collected and analysed. Exemplar vignettes were created to construct hypothetical examples and illustrate research findings. RESULTS: At admission, the three most common presentations were depression/anxiety, trauma and stress related, and psychotic disorders. During their time in the service, young people displayed a statistically significant improvement in functioning, reduction in self-harm in those 18 years and under, and a trend to reduction in distress scores. hEIT delivered a broad range of services covering social, occupational, educational, medical and mental health care, and the service was experienced positively by the patient cohort. CONCLUSIONS: hEIT appears to meet the needs of young people requiring greater care than primary care services can deliver. The integrated, wrap-around care coordination facilitates treatments across social, educational and health domains. Further exploration of young people who disengage from care, improved outcome data reporting and economic evaluation are indicated.

Autotransplantation as a feasible intervention for combined nutcracker syndrome and Loin Pain Hematuria Syndrome.

Anterior Nutcracker Syndrome (NCS) can occur when the aorta and superior mesenteric artery compress the left renal vein. Loin pain hematuria syndrome (LPHS) occurs as kidney pain resulting from a past insult to the kidney, most commonly from nephrolithiasis. We herein present a case of previously treated NCS. Three months after treatment with GVT, the pelvic congestion was resolved but left flank pain continued concerning for undiagnosed Loin Pain Hematuria. Additionally, we present a treatment algorithm that provides a differential pathway for diagnosis and treatment of combined NCS and LPHS.

The LEGO™ Exercise: An Assessment of Core Competencies in Urology Residency Interviews.

BACKGROUND: In competitive residency specialties such as Urology, it has become increasingly challenging to differentiate similarly qualified applicants. Residency interviews are utilized to rank applicants, yet they are often biased and do not explicitly address ACGME core competencies. OBJECTIVE: We hypothesized a team-based exercise in the urology residency interview centered on building LEGOs assesses core competences. DESIGN: From 2014-2017, students interviewing for urology residency at two institutions participated in a LEGO™ building activity. Applicants were assigned to "architect"- describing how to construct a structure - or "builder" - constructing the same structure with pieces-using only verbal cues to assemble the structure. Participants were graded using a rubric assessing competencies of interpersonal communication, problem-based learning, professionalism, and manual dexterity (indicator of procedural skill). The total minimum score was 16 and maximum was 80. SETTING: The study took place at two tertiary referral centers: University of Michigan Medical School in Ann Arbor, MI, and University of Utah School of Medicine in Salt Lake City, UT. PARTICIPANTS: A total of 176 applicants participated, comprised of applicants interviewing for urology residency at two institutions during the study timeframe. RESULTS: For architects and builders, there was a maximum score of 80, and minimum of 34 and 32, respectively. Both distributions show a right shift with mean scores of 64.3 and 65.9, and median scores of 69 and 65.5. Successful pairs excelled with consistent nomenclature and clear directionality. Ineffective pairs miscommunicated with false affirmations, inconsistent nomenclature, and lack of patience. CONCLUSIONS: The LEGO™ exercise allowed for standardized assessment of applicants based on ACGME core competencies. The rubric identified poor performers who do not rise to the challenge of a team-based task.

Supporting Clinicians to Use Technology to Deliver Highly Personalized and Measurement-Based Mental Health Care to Young People: Protocol for an Evaluation Study.

BACKGROUND: Australia's mental health care system has long been fragmented and under-resourced, with services falling well short of demand. In response, the World Economic Forum has recently called for the rapid deployment of smarter, digitally enhanced health services to facilitate effective care coordination and address issues of demand. The University of Sydney's Brain and Mind Centre (BMC) has developed an innovative digital health solution that incorporates 2 components: a highly personalized and measurement-based (data-driven) model of youth mental health care and a health information technology (HIT) registered on the Australian Register of Therapeutic Goods. Importantly, research into implementation of such solutions considers education and training of clinicians to be essential to adoption and optimization of use in standard clinical practice. The BMC's Youth Mental Health and Technology Program has subsequently developed a comprehensive education and training program to accompany implementation of the digital health solution. OBJECTIVE: This paper describes the protocol for an evaluation study to assess the effectiveness of the education and training program on the adoption and optimization of use of the digital health solution in service delivery. It also describes the proposed tools to assess the impact of training on knowledge and skills of mental health clinicians. METHODS: The evaluation study will use the Kirkpatrick Evaluation Model as a framework with 4 levels of analysis: Reaction (to education and training), Learning (knowledge acquired), Behavior (practice change), and Results (client outcomes). Quantitative and qualitative data will be collected using a variety of tools, including evaluation forms, pre- and postknowledge questionnaires, skill development and behavior change scales, as well as a real-time clinical practice audit. RESULTS: This project is funded by philanthropic funding from Future Generation Global. Ethics approval has been granted via Sydney Local Health District's Human Research Ethics Committee. At the time of this publication, clinicians and their services were being recruited to this study. The first results are expected to be submitted for publication in 2021. CONCLUSIONS: The education and training program teaches clinicians the necessary knowledge and skills to assess, monitor, and manage complex needs; mood and psychotic syndromes; and trajectories of youth mental ill-health using a HIT that facilitates a highly personalized and measurement-based model of care. The digital health solution may therefore guide clinicians to help young people recover low functioning associated with subthreshold diagnostic presentations and prevent progression to more serious mental ill-health. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/24697.

Neurobiology Youth Follow-up Study: protocol to establish a longitudinal and prospective research database using multimodal assessments for current and past mental health treatment-seeking young people within an early intervention service.

INTRODUCTION: Approximately 75% of major mental illness occurs before the age of 25 years. Despite this, our capacity to provide effective, early and personalised interventions is limited by insufficient evidence for characterising early-stage, and less specific, presentations of major mental disorders in youth populations. This article describes the protocol for setting up a large-scale database that will collect longitudinal, prospective data that incorporate clinical, social and occupational function, neuropsychological, circadian, metabolic, family history and genetic metrics. By collecting data in a research-purposed, standardised manner, the 'Neurobiology Youth Follow-up Study' should improve identification, characterisation and profiling of youth attending mental healthcare, to better inform diagnosis and treatment at critical time points. The overall goal is enhanced long-term clinical and functional outcomes. METHODS AND ANALYSIS: This longitudinal clinical cohort study will invite participation from youth (12-30 years) who seek help for mental health-related issues at an early intervention service (headspace Camperdown) and linked services. Participants will be prospectively tracked over 3 years with a series of standardised multimodal assessments at baseline, 6, 12, 24 and 36 months. Evaluations will include: (1) clinician-administered and self-report assessments determining clinical stage, pathophysiological pathways to illness, diagnosis, symptomatology, social and occupational function; (2) neuropsychological profile; (3) sleep-wake patterns and circadian rhythms; (4) metabolic markers and (5) genetics. These data will be used to: (1) model the impact of demographic, phenomenological and treatment variables, on clinical and functional outcomes; (2) map neurobiological profiles and changes onto a transdiagnostic clinical stage and pathophysiological mechanisms framework. ETHICS AND DISSEMINATION: This study protocol has been approved by the Human Research Ethics Committee of the Sydney Local Health District (2020/ETH01272, protocol V.1.3, 14 October 2020). Research findings will be disseminated through peer-reviewed journals and presentations at scientific conferences and to user and advocacy groups. Participant data will be de-identified.

Effect of an online healthy lifestyle psychoeducation programme to improve cardiometabolic outcomes and affective symptoms in youth receiving mental health care: study protocol for a pilot clinical trial.

INTRODUCTION: Worsened cardiometabolic profiles in youth with mental ill health have been associated with a number of modifiable lifestyle risk factors. It is becoming increasingly evident that clinical interventions need to be multimodal in focus to improve mental health symptoms and the physical health symptoms in this already at-risk cohort. METHODS AND ANALYSIS: This 12-week pilot clinical trial examines the efficacy, feasibility and acceptability of an adjunctive online psychoeducation programme for improving cardiometabolic risk parameters and affective symptoms in a transdiagnostic sample of at least 44 young people aged 16-25 years presenting for mental healthcare for mood and/or psychotic syndromes (including anxiety, depression, bipolar disorder and psychosis). Individuals will be invited to participate in a pilot clinical trial for a structured online psychoeducation programme incorporating nutritional, physical activity, sleep-wake and healthy lifestyle information, delivered fortnightly over six online modules. Participants will undergo a series of assessments including: (1) self-report and clinician administered assessments determining mental health symptomatology; (2) fasting blood tests to assess cardiometabolic markers (fasting insulin, fasting glucose and blood lipids); (3) anthropometric assessments (height, weight, waist circumference and blood pressure); and (4) sleep-wake behaviours and circadian rhythm assessments. Changes in scores for all cardiometabolic and affective measures will be assessed via paired samples t-tests, and correlations between change scores will be assessed via Pearson's or Spearman's correlations. Feasibility will be assessed via completion rates, and the acceptability of the programme will be assessed via programme satisfaction measures. ETHICS AND DISSEMINATION: This pilot clinical trial has been approved by the Sydney Local Health District Research Ethics and Governance Office (X20-0228 & 2020/ETH01201). The results of this pilot clinical trial will be disseminated into the scientific and broader community through peer-reviewed journals, conference presentations, social media and university websites. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ANZCTR) Number: ACTRN12620000772943, Date 28 August 2020.

Automated Generation of Personalized Shock Wave Lithotripsy Protocols: Treatment Planning Using Deep Learning.

BACKGROUND: Though shock wave lithotripsy (SWL) has developed to be one of the most common treatment approaches for nephrolithiasis in recent decades, its treatment planning is often a trial-and-error process based on physicians' subjective judgement. Physicians' inexperience with this modality can lead to low-quality treatment and unnecessary risks to patients. OBJECTIVE: To improve the quality and consistency of shock wave lithotripsy treatment, we aimed to develop a deep learning model for generating the next treatment step by previous steps and preoperative patient characteristics and to produce personalized SWL treatment plans in a step-by-step protocol based on the deep learning model. METHODS: We developed a deep learning model to generate the optimal power level, shock rate, and number of shocks in the next step, given previous treatment steps encoded by long short-term memory neural networks and preoperative patient characteristics. We constructed a next-step data set (N=8583) from top practices of renal SWL treatments recorded in the International Stone Registry. Then, we trained the deep learning model and baseline models (linear regression, logistic regression, random forest, and support vector machine) with 90% of the samples and validated them with the remaining samples. RESULTS: The deep learning models for generating the next treatment steps outperformed the baseline models (accuracy = 98.8%, F1 = 98.0% for power levels; accuracy = 98.1%, F1 = 96.0% for shock rates; root mean squared error = 207, mean absolute error = 121 for numbers of shocks). The hypothesis testing showed no significant difference between steps generated by our model and the top practices (P=.480 for power levels; P=.782 for shock rates; P=.727 for numbers of shocks). CONCLUSIONS: The high performance of our deep learning approach shows its treatment planning capability on par with top physicians. To the best of our knowledge, our framework is the first effort to implement automated planning of SWL treatment via deep learning. It is a promising technique in assisting treatment planning and physician training at low cost.

Flip the Clinic: A Digital Health Approach to Youth Mental Health Service Delivery During the COVID-19 Pandemic and Beyond.

The demand for mental health services is projected to rapidly increase as a direct and indirect result of the COVID-19 pandemic. Given that young people are disproportionately disadvantaged by mental illness and will face further challenges related to the COVID-19 pandemic, it is crucial to deliver appropriate mental health care to young people as early as possible. Integrating digital health solutions into mental health service delivery pathways has the potential to greatly increase efficiencies, enabling the provision of "right care, first time." We propose an innovative digital health solution for demand management intended for use by primary youth mental health services, comprised of (1) a youth mental health model of care (ie, the Brain and Mind Centre Youth Model) and (2) a health information technology specifically designed to deliver this model of care (eg, the InnoWell Platform). We also propose an operational protocol of how this solution could be applied to primary youth mental health service delivery processes. By "flipping" the conventional service delivery models of majority in-clinic and minority web-delivered care to a model where web-delivered care is the default, this digital health solution offers a scalable way of delivering quality youth mental health care both in response to public health crises (such as the COVID-19 pandemic) and on an ongoing basis in the future.

Microhematuria: AUA/SUFU Guideline.

PURPOSE: Patients presenting with microhematuria represent a heterogeneous population with a broad spectrum of risk for genitourinary malignancy. Recognizing that patient-specific characteristics modify the risk of underlying malignant etiologies, this guideline sought to provide a personalized diagnostic testing strategy. MATERIALS AND METHODS: The systematic review incorporated evidence published from January 2010 through February 2019, with an updated literature search to include studies published up to December 2019. Evidence-based statements were developed by the expert Panel, with statement type linked to evidence strength, level of certainty, and the Panel's judgment regarding the balance between benefits and risks/burdens. RESULTS: Microhematuria should be defined as ≥ 3 red blood cells per high power field on microscopic evaluation of a single specimen. In patients diagnosed with gynecologic or non-malignant genitourinary sources of microhematuria, clinicians should repeat urinalysis following resolution of the gynecologic or non-malignant genitourinary cause. The Panel created a risk classification system for patients with microhematuria, stratified as low-, intermediate-, or high-risk for genitourinary malignancy. Risk groups were based on factors including age, sex, smoking and other urothelial cancer risk factors, degree and persistence of microhematuria, as well as prior gross hematuria. Diagnostic evaluation with cystoscopy and upper tract imaging was recommended according to patient risk and involving shared decision-making. Statements also inform follow-up after a negative microhematuria evaluation. CONCLUSIONS: Patients with microhematuria should be classified based on their risk of genitourinary malignancy and evaluated with a risk-based strategy. Future high-quality studies are required to improve the care of these patients.

Youth Mental Health Tracker: protocol to establish a longitudinal cohort and research database for young people attending Australian mental health services.

INTRODUCTION: Mental disorders are a leading cause of long-term disability worldwide. Much of the burden of mental ill-health is mediated by early onset, comorbidities with physical health conditions and chronicity of the illnesses. This study aims to track the early period of mental disorders among young people presenting to Australian mental health services to facilitate more streamlined transdiagnostic processes, highly personalised and measurement-based care, secondary prevention and enhanced long-term outcomes. METHODS AND ANALYSIS: Recruitment to this large-scale, multisite, prospective, transdiagnostic, longitudinal clinical cohort study ('Youth Mental Health Tracker') will be offered to all young people between the ages of 12 and 30 years presenting to participating services with proficiency in English and no history of intellectual disability. Young people will be tracked over 3 years with standardised assessments at baseline and 3, 6, 12, 24 and 36 months. Assessments will include self-report and clinician-administered measures, covering five key domains including: (1) social and occupational function; (2) self-harm, suicidal thoughts and behaviour; (3) alcohol or other substance misuse; (4) physical health; and (5) illness type, clinical stage and trajectory. Data collection will be facilitated by the use of health information technology. The data will be used to: (1) determine prospectively the course of multidimensional functional outcomes, based on the differential impact of demographics, medication, psychological interventions and other key potentially modifiable moderator variables and (2) map pathophysiological mechanisms and clinical illness trajectories to determine transition rates of young people to more severe illness forms. ETHICS AND DISSEMINATION: The study has been reviewed and approved by the Human Research Ethics Committee of the Sydney Local Health District (2019/ETH00469). All data will be non-identifiable, and research findings will be disseminated through peer-reviewed journals and scientific conference presentations.

Successful Utilization of a Live Donor Kidney with Angiomyolipoma.

The gap between the kidney transplant recipient list and the number of organs available for transplantation continues to grow. Kidneys from living donors are a major source of high-quality organs. However, they commonly have benign conditions such as cysts and benign tumors that present as operative challenges. This case presents a donor kidney that had a benign angiomyolipoma. The kidney was donated in a standard, minimally invasive fashion. The tumor was then removed on the back table and transplanted without an issue. Both donor and recipient enjoyed a speedy recovery with no significant complications.

Renal Auto-Transplantation for Loin Pain Hematuria Syndrome Using a Multidisciplinary Team Model: Intermediate-Term Results.

Background Patients with loin pain hematuria syndrome (LPHS) can find relief via multiple modalities, few provide long-term pain control like renal auto-transplantation (RAT). This study evaluates the intermediate effectiveness of the RAT procedure's ability to achieve long-term pain control and quality of life improvement. Methods All patients with suspected LPHS were seen by a multi-disciplinary team (MDT) composed of urologists, interventional radiologists, and transplant surgeons. Clinical history and physical exam, lab values, imaging findings, and response to renal hilar block (RHB) were used to determine LPHS and candidacy for potential RAT. Preoperative, one-year, three-year, and five-year postoperative pain assessment scores and quality of life surveys were administered to each LPHS and potential RAT patient. Results Eighty-four LPHS patients were referred for the evaluation of and consultation for the option of RAT. Sixty-four of these patients underwent RHB of which 60 (93.8%) had a positive response, defined as a temporary reduction of pain score by >50%. Forty-six of the 60 patients who responded favorably proceeded to RAT. At the one-year follow-up, there was a 75% reduction in pain with 88.9% of patients experiencing a 50% reduction in pain. At one year, the mean Beck Depression Inventory (BDI) decreased by 65.4%, from an average of 23.7 to 8.2. Similarly, at three years (n = 5) and five years (n = 3), the mean pain scores were 2 and 1. Conclusions The MDT evaluation of potential LPHS patients with our protocol and treatment results in an improvement in pain and depression scores in these selected patients.

Renal hilar block predicts long-term success of renal auto-transplantation for loin pain hematuria syndrome.

PURPOSE: In patients with loin pain hematuria syndrome (LPHS), a response to percutaneous renal hilar blockade (RHB) and a multidisciplinary team (MDT) evaluation predicts patient's potential renal auto-transplantation (RAT) success. METHODS: A pain assessment was performed using a 0-10 numeric pain rating scale prior to a percutaneous RHB under CT guidance. If the pain score was reduced > 50% immediately after the RHB, patients were evaluated for RAT by a MDT. Pre-operative and 1-year post-operative quality-of-life surveys were administered to each RAT patient. RESULTS: 43 LPHS patients were referred for RHB. Of the 38 patients who received a RHB, 31 had > 50% reduction in pain scores. Pre- and post-RHB mean pain scores were 6/10 and 0.7/10, respectively, in patients who had > 50% reduction in pain. 22 of the patients who responded favorably then proceeded to RAT. Twelve patients had at least 1-year follow-up after RAT. All patients had a meaningful decrease in their pain. Mean pain score at 1 year was 0.8/10 for an 85% overall reduction in pain. 92% of patients experienced a ≥ 50% reduction in pain at 1 year. Mean Beck Depression Inventory (BDI) score (0-66) 1 year after RAT decreased from 25.2 pre-op (moderate depression) to 12.8 post-op (minimal depression). CONCLUSIONS: A MDT approach utilizing a RHB should be considered as a tool to select appropriate LPHS patients for RAT to achieve long-term success in reducing chronic pain and depression while increasing quality of life.